Literature DB >> 7608703

Prediction of outcome in severe head injury based on recognition of sleep related activity in the polygraphic electroencephalogram.

B M Evans1, J R Bartlett.   

Abstract

This study shows that the continuing presence of activity similar to normal sleep in the EEG in conjunction with the EEG polygraph (EEGP) can be used to determine the severity of brain damage after head injury. Recordings were taken within seven days of head injury from 154 unselected patients after resuscitation and emergency surgery. Sixteen patients with ongoing seizures were excluded. In the remaining 138 patients the presence of activity in the EEG, EEGP, or both, which can also be recognised in normal alertness and sleep, was noted. Particular attention was paid to the presence or absence of arousal related phasic activity involving EEG, motor, and autonomic changes. The traces were allocated to one of five groups: group 1, wakeful traces with normal alpha in at least one hemisphere; group 2, sleep-like traces with K complexes responsive to stimulation; group 3, traces with phasic activity related to abnormal spontaneous arousal including EEG changes; group 4, traces with abnormal spontaneous arousal activity without EEG changes; group 5, traces with no spontaneous arousal activity. The mean follow up was 21.5 months. Groups 2 and 3 were significantly associated with a good outcome and group 5 with death or a vegetative state. Comparison between the EEG/EEGP findings and the Glasgow coma scale at the time of the recording showed the EEG/EEGP to be the better predictor of outcome, particularly for individual patients.

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Mesh:

Year:  1995        PMID: 7608703      PMCID: PMC1073595          DOI: 10.1136/jnnp.59.1.17

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  19 in total

1.  Severe head injuries in three countries.

Authors:  B Jennett; G Teasdale; S Galbraith; J Pickard; H Grant; R Braakman; C Avezaat; A Maas; J Minderhoud; C J Vecht; J Heiden; R Small; W Caton; T Kurze
Journal:  J Neurol Neurosurg Psychiatry       Date:  1977-03       Impact factor: 10.154

2.  The cyclic alternating pattern sequences in the dynamic organization of sleep.

Authors:  M G Terzano; L Parrino; M C Spaggiari
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1988-05

3.  Combined clinical and EEG examinations for assessment of severity of acute head injuries.

Authors:  A Bricolo; S Turazzi; F Faccioli
Journal:  Acta Neurochir Suppl (Wien)       Date:  1979

4.  Correlations between intracranial pressure and EEG during coma and sleep.

Authors:  C Munari; F Calbucci
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1981-02

5.  The cyclic alternating pattern as a physiologic component of normal NREM sleep.

Authors:  M G Terzano; D Mancia; M R Salati; G Costani; A Decembrino; L Parrino
Journal:  Sleep       Date:  1985       Impact factor: 5.849

6.  Short- and long-term prognostic value of the electroencephalogram in children with severe head injury.

Authors:  A Dusser; Y Navelet; D Devictor; P Landrieu
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1989-08

7.  Cyclic EEG changes in subacute spongiform and anoxic encephalopathy.

Authors:  B M Evans
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1975-12

8.  Predicting outcome in individual patients after severe head injury.

Authors:  B Jennett; G Teasdale; R Braakman; J Minderhoud; R Knill-Jones
Journal:  Lancet       Date:  1976-05-15       Impact factor: 79.321

9.  Is the EEG cyclic alternating pattern a true autonomous entity? Analytic study in a case of post-traumatic coma with good prognosis.

Authors:  M G Terzano; P L Gatti; G C Manzoni; E Formentini; D Mancia
Journal:  Eur Neurol       Date:  1982       Impact factor: 1.710

10.  Incidence and prognostic value of spindles in post-traumatic coma.

Authors:  E Rumpl; M Prugger; G Bauer; F Gerstenbrand; J M Hackl; A Pallua
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1983-11
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  14 in total

1.  Short-term outcome prediction by electroencephalographic features in children treated with therapeutic hypothermia after cardiac arrest.

Authors:  Sudha Kilaru Kessler; Alexis A Topjian; Ana M Gutierrez-Colina; Rebecca N Ichord; Maureen Donnelly; Vinay M Nadkarni; Robert A Berg; Dennis J Dlugos; Robert R Clancy; Nicholas S Abend
Journal:  Neurocrit Care       Date:  2011-02       Impact factor: 3.210

2.  Continuous Electroencephalography After Moderate to Severe Traumatic Brain Injury.

Authors:  Hyunjo Lee; Moshe A Mizrahi; Jed A Hartings; Sameer Sharma; Laura Pahren; Laura B Ngwenya; Brian D Moseley; Michael Privitera; Frank C Tortella; Brandon Foreman
Journal:  Crit Care Med       Date:  2019-04       Impact factor: 7.598

Review 3.  Sleep in disorders of consciousness.

Authors:  Victor Cologan; Manvel Schabus; Didier Ledoux; Gustave Moonen; Pierre Maquet; Steven Laureys
Journal:  Sleep Med Rev       Date:  2009-06-12       Impact factor: 11.609

4.  Early Electroencephalographic Findings Correlate With Neurologic Outcome in Children Following Cardiac Arrest.

Authors:  Adam P Ostendorf; Mary E Hartman; Stuart H Friess
Journal:  Pediatr Crit Care Med       Date:  2016-07       Impact factor: 3.624

Review 5.  EEG monitoring during therapeutic hypothermia in neonates, children, and adults.

Authors:  Nicholas S Abend; Ram Mani; Tammy N Tschuda; Tae Chang; Alexis A Topjian; Maureen Donnelly; Denise LaFalce; Margaret C Krauss; Sarah E Schmitt; Joshua M Levine
Journal:  Am J Electroneurodiagnostic Technol       Date:  2011-09

6.  Quantitative EEG predicts outcomes in children after cardiac arrest.

Authors:  Seungha Lee; Xuelong Zhao; Kathryn A Davis; Alexis A Topjian; Brian Litt; Nicholas S Abend
Journal:  Neurology       Date:  2019-04-10       Impact factor: 9.910

Review 7.  A review of long-term EEG monitoring in critically ill children with hypoxic-ischemic encephalopathy, congenital heart disease, ECMO, and stroke.

Authors:  Nicholas S Abend; Dennis J Dlugos; Robert R Clancy
Journal:  J Clin Neurophysiol       Date:  2013-04       Impact factor: 2.177

Review 8.  Electroencephalographic monitoring in the pediatric intensive care unit.

Authors:  Nicholas S Abend; Kevin E Chapman; William B Gallentine; Joshua Goldstein; Ann E Hyslop; Tobias Loddenkemper; Kendall B Nash; James J Riviello; Cecil D Hahn
Journal:  Curr Neurol Neurosci Rep       Date:  2013-03       Impact factor: 5.081

9.  Continuous electroencephalography in pediatric traumatic brain injury: Seizure characteristics and outcomes.

Authors:  Jarin Vaewpanich; Karin Reuter-Rice
Journal:  Epilepsy Behav       Date:  2016-08-05       Impact factor: 2.937

10.  Early Electroencephalographic Background Features Predict Outcomes in Children Resuscitated From Cardiac Arrest.

Authors:  Alexis A Topjian; Sarah M Sánchez; Justine Shults; Robert A Berg; Dennis J Dlugos; Nicholas S Abend
Journal:  Pediatr Crit Care Med       Date:  2016-06       Impact factor: 3.624

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